1 / 27

Data Quality Assurance

Data Quality Assurance. Jolene Hamm *Portions of presentation developed by Shea Dunifon. Quality Assurance Processes. Data Quality Assurance at FAEIS. Annual system check by institution Program Manager runs reports by area Quality Assurance Review

kaylee
Download Presentation

Data Quality Assurance

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Data Quality Assurance Jolene Hamm *Portions of presentation developed by Shea Dunifon

  2. Quality Assurance Processes

  3. Data Quality Assurance at FAEIS • Annual system check by institution • Program Manager runs reports by area • Quality Assurance Review • New Features in FAEIS to support quality assurance • Data Source Entry for College Information • Survey Info as quality assurance tracking interface • FAEIS conducted Quality Assurance for all institutions going from 2003-2009 reporting year for data accuracy

  4. FAEIS • Contacted all institutions in FAEIS starting in June and is ongoing • Total contributed hours: 1941 man hours to date • Efforts of 4 Helpdesk GRAs

  5. Identifying Data Inquiries: Examples

  6. University of Florida: Before

  7. University of Florida: After

  8. The Ohio State University: Before

  9. The Ohio State University: After

  10. Texas A & M University

  11. University of Minnesota, St. Paul: Before

  12. University of Minnesota, St. Paul: After

  13. How did we “clean data?” • Merging CIPs • Deleting CIPs • Recording institutional correspondences in the Survey Info Section • Adding IR data to fill in gaps

  14. Merging CIPs • “Alternating CIPs” can often be identified as changes in CIP code reporting.

  15. Deleting CIPs • Instances when CIPs should NOT be deleted: • Programs are no longer offered (make note in Survey Info) • New users report from year to year (can merge CIPs)? • Data is confirmed by Department or IR • Instances when CIPs should be deleted: • One year is reported and no explanation is available why • Reported in the wrong College

  16. Institutional Inquiries • Contact Institutions to identify: • Mergers between Colleges and Departments • List of CIPs (by Majors) • Multiple users • Deleted or new Programs

  17. Course of Action

  18. Survey Info

  19. Exceptional Case

  20. The University of Idaho

  21. The University of Idaho • Each year, data was reported by a new user • All of those users have since been “deleted” • The College of Agriculture stopped reporting to FAEIS in 2007 • IR began reporting to FAEIS in 2007 • IR data used Fall 10th day numbers for FAEIS and are not the same as the Fall end of semester numbers it used to verify past data

  22. University of Idaho: After

  23. Future Issues to be Addressed • Encouraging Institutions to develop a consistent & reliable means of reporting • Reminding Institutions to verify and update CIPs annually • Developing and maintaining strong relationships with reporting Institutions • Tools for tracking users

  24. Questions

More Related